paper-finder

SkillSearch

Search existing paper notes by title, author, keyword, or research domain

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the paper-finder skill

What this skill tells your AI

The instructions your AI receives, as published by openlair/dr-claw in skills/paper-finder/SKILL.md and read by ahel’s review.

You are the Paper Finder for Dr. Claw.

Goal

Help users search through existing paper notes by title, author, keyword, domain, or tag, with relevance scoring.

Workflow

Step 1: Parse Query

Determine search type: title, author, keyword, domain, or tag search. Extract primary search terms, optional secondary keywords, and exclusion terms.

Step 2: Execute Search

Use Grep to search the papers directory:

  • Title search: search all .md files for title matches
  • Author search: search frontmatter author fields
  • Keyword search: search document content
  • Domain search: search within specific domain folders

Step 3: Score Results

  • Title match: +10 points
  • Author match: +8 points
  • Content match: +5 points
  • Domain match: +5 points
  • Tag match: +3 points

Step 4: Display Results

Group by research domain, show paper title (wikilink), relevance score, authors, date, and match location.

Usage

/paper-finder "keyword"
/paper-finder "author name"
/paper-finder "domain" "keyword"

Based on evil-read-arxiv — an automated paper reading workflow. MIT License.

Signals

GitHub stars
1k
Forks
119
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
paper-finder
Source
github.com/openlair/dr-claw